ACW Baseline Report: Manufacturing - Forestry
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
This background paper explores the emission of greenhouse gasses (GHGs) in Canadian forestry, with a focus on the energy use and associated emissions related to the initial harvesting of trees, their processing into intermediate and/or finished products, and the reforestation efforts that are required for Canadian forests to remain a renewable resource. It is an interesting time to be looking at this topic as 2015 marks the target year, announced in 2007, by which the forest industry had targeted to achieve industry-wide carbon neutrality without the purchase of offsetting carbon credits Overall, the industry is found to have improved immensely in its emissions intensity. Three trends are highlighted: fuel switching, improved energy efficiency, and energy systems optimization. There are a variety of influences that have encouraged the continuous improvement of the industry. These incentives originate in public policy, economic incentives, and social pressure/responsibility.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.004 |
| Open science | 0.003 | 0.003 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it